id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_5i3wjeon5zeghmnvsvaas77wem	Ben King	Heterogeneous Networks and Their Applications: Scientometrics, Name Disambiguation, and Topic Modeling	2014	14	.pdf	application/pdf	8417	806	60	Heterogeneous Networks and Their Applications: Scientometrics, Name Disambiguation, and Topic Modeling disambiguation, topic modeling, and the measurement of scientific impact to be easily solved Graph-based methods have been used to great effect in NLP, on problems such as word sense disambiguation (Mihalcea, 2005), summarization (Erkan in several applications: the measurement of scientific impact (Section 2), name disambiguation (Section 3), and topic modeling (Section 4). In general, non-heterogeneous measures like h-index or collaboration network Pagerank, which only focus on one type of relationship The heterogeneous network for this problem contains papers, authors, terms, venues, and institutions. Table 4: Performance of different networks and distance measures on the author name disambiguation task. al., 2011), a high-performance author disambiguation method based on the coauthorship graph. graph and topic association based on random walks may consider that the methods of the author disambiguation or topic modeling tasks could be to find	./cache/work_5i3wjeon5zeghmnvsvaas77wem.pdf	./txt/work_5i3wjeon5zeghmnvsvaas77wem.txt